Wanwan Ge was born in China in 1992 and pursued her early studies in Computational Biology and Genome Science, obtaining her PhD at the Max Planck Institute for Multidisciplinary Sciences in Göttingen, Germany, where she developed Bayesian and machine learning models to predict transcription factor binding sites.
After completing her PhD in 2020, Wanwan joined the Max Planck Institute for Molecular Genetics in Berlin as a Bioinformatics Scientist. Her research focused on integrating multi-omics data from cancer patients and xenograft models to uncover disease-driving mechanisms, with a particular emphasis on leukemia and melanoma. In 2022, she worked part-time at ALACRiS Theranostics, contributing to comprehensive molecular tumor analysis and the identification of druggable targets.
In February 2023, Wanwan transitioned to the Bosch Health Campus as a Senior Bioinformatics Scientist, taking on cancer epigenomics projects. In December 2023, she became Head of the Bioinformatics Unit at the Robert Bosch Center for Tumor Diseases, where she now leads efforts to establish computational infrastructure and implement bioinformatics pipelines for translational research. Her work aims to enhance precision oncology by creating reproducible, high-quality data integration pipelines that provide actionable insights for personalized treatment strategies.
Relevant Own Publications
- Ge W, Meier M, Roth C, Söding J. Bayesian Markov models improve the prediction of binding motifs beyond first order. NAR Genom Bioinform. 2021 Apr 20;3(2):lqab026. doi: 10.1093/nargab/lqab026. PMID: 33928244; PMCID: PMC8057495.
- Kiesel A, Roth C, Ge W, Wess M, Meier M, Söding J. The BaMM web server for de-novo motif discovery and regulatory sequence analysis. Nucleic Acids Res. 2018 Jul 2;46(W1):W215-W220. doi: 10.1093/nar/gky431. PMID: 29846656; PMCID: PMC6030882.
- Poehlein A, Alghaithi HS, Chandran L, Chibani CM, Davydova E, Dhamotharan K, Ge W, Gutierrez-Gutierrez DA, Jagirdar A, Khonsari B, Nair KP, Daniel R. First Insights into the Genome of the Amino Acid-Metabolizing Bacterium Clostridium litorale DSM 5388. Genome Announc. 2014 Jul 31;2(4):e00754-14. doi: 10.1128/genomeA.00754-14. PMID: 25081264; PMCID: PMC4118067.